Dana H Ballard
- E-mail: email@example.com
- Phone: (512) 471-9750
- Office: CSA 1.138
My main research interest is in computational theories of the brain with emphasis on human vision. In 1985 Chris Brown and I led a team that designed and built a high speed binocular camera control system capable of simulating human eye movements. The system was mounted on a robotic arm that allowed it to move at one meter per second in a two meter radius workspace. This system has led to an increased understanding of the role of behavior in vision. The theoretical aspects of that system were summarized in a paper ``Animate Vision,'' which received the Best Paper Award at the 1989 International Joint Conference on Artificial Intelligence. Currently I am interested in pursuing this research by using model humans in virtual reality environments. In addtion I am interested in models of the brain that relate to detailed neural codes. A position paper on this work appeared in the Behavioral and Brain Sciences.
Hayhoe, M. & Ballard, D. (2009, September) Modeling the role of task in the control of gaze. Visual Cognition, 17(6-7), pp. 1185-1204.
Hayhoe M. & Ballard, D. (2005) Eye movements in natural behavior. Trends in Cognitive Sciences, 9(4), 188-193.
Sprague, N. and Ballard, D.H. (2005) Modeling embodied visual behaviors. ACM Transactions on Applied Perception. (Submitted)
Yu, Chen and Dana H. Ballard,(2004), A Multimodal Learning Interface for Grounding Spoken Language in Sensorimotor Experience, ACM Transactions on Applied Perception. 1, 1.
Triesch, J., Ballard, D., Hayhoe, M., & Sullivan, B. (2003). What you see is what you need. Journal of Vision, 3, 86-94.
Shimozaki, S., Zelinsky, G., Hayhoe, H., Merigan, W., & Ballard, D. (2003). Spatial memory and saccade targeting deficits from parietal injury. Neuropsychologia, 41, pp. 1365-1386.
Rao, R., Zelinsky, G., Hayhoe, M., & Ballard, D. (2002). Eye movements in iconic visual search. Vision Research, 42(11), 1447-1463.
Triesch, J., Ballard, D.H., and Jacobs, R.A. (2002) Fast temporal dynamics of visual cue integration. Perception, 31, 421-434
Triesch, J., Sullivan, B., Hayhoe, M., & Ballard, D. (2002). Saccade contingent scene changes in unconstrained virtual reality. Proceedings, Eye Tracking Research & Application, 95-102.
Zuohua Zhang, Dana H. Ballard,(2001) Distributed Synchrony, Journal of Neurocomputing, Vol 44-46C, 715-720.
Rao, R.P.N. and D.H. Ballard,(1999), Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects, Nature Neuroscience 2, 1, 79.
de Sa, V.R., & Ballard, D. (1998) Category Learning through Multi-Modality Sensing, Neural Computation 10(5).
Hayhoe, M., Bensinger, D., & Ballard, D. (1998). Task constraints in visual working memory. Vision Research, 38, 125-137.
Ballard, D., Hayhoe, M., Pook, P., & Rao, R. (1997). Deictic codes for the embodiment of cognition. Behavioral and Brain Sciences, 20, 723-767.
Zelinsky, G., Rao, R., Hayhoe, M., & Ballard, D. (1997). Eye movements reveal the spatio-temporal dynamics of visual search. Psychological Science, 8, 448-453.
Rao, R., Zelinsky, G., Hayhoe, M., & Ballard, D. (1996). Modelling saccade targeting in visual search. In D. Touretzky, M. Mozer, & M. Hasselmo (Eds). Advances in Neural Information Processing Systems, 8, pp. 830-836. Cambridge, MA: MIT Press.
Smeets, J., Hayhoe, M., & Ballard, D. (1996). Influence of hand movements on eye-head coordination. Experimental Brain Research, 109, 434-440.
Ballard, D., Hayhoe, M., & Pelz, J. (1995). Memory representations in natural tasks. Cognitive Neuroscience, 7, 66-80.
Ballard, D.H., "Animate vision," Artificial Intelligence Journal 48, 57-86, 1991.
Swain, M. J. & Ballard, D. H. (1991) Color Indexing, International Journal of Computer Vision, 7,1,11-32.
Ballard, D.H., G.E. Hinton, and T.J. Sejnowski (1983), Parallel visual computation, Nature 306, 5938, 21-26, 3.
Ballard, D. H. (1981), Strip trees: a hierarchical representation for curves, Communications of the ACM, v.24 n.5, 310-321.
Ballard, D.H., "Generalizing the Hough transform to detect arbitrary shapes, " Pattern Recognition 13, 2, April 1981.
Semester Course Unique No. Title
2014 Spr CS 391L 54015 Machine Learning
2014 Spr CS 342C 53810 Computational Brain
2014 Spr CMS 372C 07705 Time Matters
2014 Spr CMS 390S 07835 Groups, Teams & Comm
2013 Fall CMS 370K 07255 Internship in Comm Stds
2013 Fall CMS 081M 07340 Grad STds in Human Comm